Job Requirements
- We’re looking for a highly motivated candidate eager to use and extend state of the art Machine Learning approaches in the above areas.
- Has strong research credentials as evidenced by publications in leading ML conferences / Journals or demonstrated open-source software development in one or more areas.
- 5+ years of hands-on experience in various ML techniques, algorithms, off-the-shelf packages and development environments.
- Ability to understand and use details of an engineering problem statement, formulate it as an ML problem and identify candidate ML approaches.
- Original research experience in synthesizing and combining multiple ML approaches to address novel engineering problems.
- Broad awareness of customer needs in the area of AI and ML for defense and aerospace applications.
- U.S. Citizenship or Permanent Resident (Green Card) status is required.
- U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.
- Required : B.Sc or Ph.D. in Mechanical Engineering, Computer Science, Robotics, or related quantitative field.
- Strong analytical, problem-solving and interpersonal skills with track record of teamwork, adaptability, innovation and initiative.
- Clear and effective communication with all levels of management, business development, researchers and customers.
- Ability to focus and determine task priorities in a fast-paced, dynamic team environment.
- Ability to work independently with limited direction to accomplish project goals.
- Requires advanced knowledge of work area typically obtained through advanced education combined with experience.
- May have practical knowledge of project.
- A University Degree or equivalent experience and minimum 5 years prior relevant experience, or An Advanced Degree in a related field and minimum 3 years experience.
- Typically requires a degree in Science, Technology, Engineering or Mathematics (STEM) and a minimum of 5 years of prior relevant experience unless prohibited by local laws / regulations.
Responsibilities
- Examples include autonomy, multi-agent coordination, cybersecurity, material discovery and design, automated visual inspection of parts, robotic perception and prognostics and health management.
- Demonstrates the potential to initiate, lead, and execute projects through internal and external R&D.
- Additionally, this role requires an ability to work effectively in a multidisciplinary team partnering with universities, government agencies, and national labs.
Company information
Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.
We're a diverse team of explorers united in our goal to push the boundaries of known science and solve the world’s most complex problems.
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